AI Runs on Data. Is Security Starving It? - 23 de abril de 2026 - TecnoWebinars.com

AI performance depends on context. The broader and more relevant the data it can safely access, the more accurate and useful it becomes. Yet in many enterprises, security controls designed for static systems are now being applied to AI systems that require broader interaction with data. If AI needs more data to perform well, what happens when access is restricted? This session explores the tension between protection and enablement, and what happens when security policies and AI workflows fall out of alignment.